Publications of Peter Benner
All genres
Preprint (31)
2023
Preprint
Multi-fidelity Error Estimation accelerates Greedy Model Reduction of Complex Dynamical Systems. (2023)
Preprint
Adjacency-based, Non-Intrusive Model Reduction for Vortex-Induced Vibrations. (2023)
Preprint
Rank-Minimizing and Structured Model Inference. (2023)
Preprint
Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction. (2023)
Preprint
Inference of Continuous Linear Systems from Data with Guaranteed Stability. (2023)
Preprint
A Weighted Subspace Exponential Kernel for Support Tensor Machines. (2023)
2022
Preprint
Riccati-feedback Control of a Two-dimensional Two-phase Stefan Problem. (2022)
Preprint
A Unifying Framework for Tangential Interpolation of Structured Bilinear Control Systems. (2022)
Preprint
An Operator Inference Oriented Approach for Mechanical Systems. (2022)
Preprint
Neural ODEs with Irregular and Noisy Data. (2022)
Preprint
Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning. (2022)
Preprint
Model Reduction for Second-Order Systems with Inhomogeneous Initial Conditions. (2022)
2021
Preprint
LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes. (2021)
Preprint
Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint. (2021)
Preprint
Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning. (2021)
Preprint
Solution Decomposition for the Nonlinear Poisson-Boltzmann Equation using the Range-Separated Tensor Format. (2021)
Preprint
Learning Reduced Order Models from Data for Hyperbolic PDEs. (2021)
2020
Preprint
Automatic Decoupling and Index-aware Model-Order Reduction for Nonlinear Differential-Algebraic Equations. (2020)
Preprint
Structure-Preserving Model Reduction for Dissipative Mechanical Systems. (2020)
Preprint
Low-Rank and Total Variation Regularization and Its Application to Image Recovery. (2020)